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For Companies At a Glance
- Tasks: Design and optimise AI infrastructure while collaborating with enterprise customers.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, equity, health coverage, flexible vacation, and remote work options.
- Why this job: Make a real impact in AI technology and customer success.
- Qualifications: 7+ years in technical roles, strong cloud and Kubernetes experience.
- Other info: Dynamic team culture with opportunities for travel and career growth.
The predicted salary is between 48000 - 84000 ÂŁ per year.
About The Role
We’re looking for a Solutions Architect to join our Professional Services team. You’ll work directly with enterprise customers to design, deploy, and optimize production‑grade AI infrastructure and agent systems. You’ll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well‑evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer‑facing skills. You’ll work on everything from Kubernetes cluster design to multi‑agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting‑edge AI technology. You’ll join a collaborative team environment with a strong engineering culture.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly‑available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi‑region HA/DR strategies, and CI/CD pipelines.
- Agent Engineering & Development: Design multi‑agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations.
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams.
What We’re Looking For
- 7+ years of experience in a technical, hands‑on customer‑facing role such as Solutions Architect or Forward Deployed Engineer.
- Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure). Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi‑zone deployments. Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices. Knowledge of database systems (relational databases, in‑memory data stores) including HA, replication, backup strategies, and sizing. Experience designing high‑availability and disaster recovery solutions. Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog). Experience with CI/CD pipelines for infrastructure and applications.
- Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents. Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent‑based applications. Experience with state management patterns (short‑term and long‑term memory). Experience designing and implementing evaluation frameworks for AI applications. Strong prompt engineering skills with experience in optimization and A/B testing. Experience with vector stores, RAG patterns, and knowledge organization. Experience with tool integration, API design, and error handling patterns. Strong Python and/or TypeScript development skills.
- Customer‑Facing: Customer‑facing experience with enterprise customers. Experience conducting technical assessments or infrastructure audits. Strong communication skills with ability to explain technical concepts to diverse audiences.
Key Attributes
- Strong problem‑solving skills with ability to analyze complex requirements and design elegant solutions.
- Excellent customer‑facing communication skills, able to explain technical concepts to diverse audiences.
- Experience working cross‑functionally with engineering teams, product teams, and customers.
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation.
- Ability to balance infrastructure architecture with agent development work.
- Strong engineering background with hands‑on development experience.
Location Europe (UK, Netherlands preferred). Remote with up to 25% travel.
Compensation We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location.
Solutions Architect employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have a lead on that perfect Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI infrastructure and agent systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and customer engagement skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with diverse audiences.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Solutions Architect role. Highlight your experience with cloud platforms, Kubernetes, and AI/ML applications to grab our attention!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've solved complex problems in previous roles, especially in customer-facing situations.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with Infrastructure as Code, CI/CD pipelines, and any relevant frameworks like LangChain or LangGraph. We love seeing your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around Kubernetes, Infrastructure as Code, and AI frameworks. Be ready to discuss specific projects where you've designed scalable infrastructure or built agent applications. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Customer Engagement Skills
Since this role involves working directly with enterprise customers, prepare examples of how you've successfully engaged with clients in the past. Highlight your ability to assess their needs and present tailored solutions. This will demonstrate your consultative approach and strong communication skills.
✨Prepare for Problem-Solving Scenarios
Expect to face some technical challenges during the interview. Practice articulating your thought process when solving complex problems, especially those related to infrastructure design or agent development. This will help interviewers see your analytical skills in action.
✨Familiarise Yourself with the Company Culture
Research the company's engineering culture and values. Be ready to discuss how your work style aligns with their collaborative environment. Showing that you understand and fit into their culture can set you apart from other candidates.
